{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "662c8244-daba-4a8a-ba64-98f5a602b286",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "✅ 库导入完成！\n"
     ]
    }
   ],
   "source": [
    "# 导入必要的库\n",
    "import torch\n",
    "import torch.nn as nn\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "from sklearn.model_selection import train_test_split\n",
    "import time\n",
    "from IPython.display import display, clear_output\n",
    "\n",
    "# 设置中文字体和样式\n",
    "plt.rcParams['font.sans-serif'] = ['DejaVu Sans']\n",
    "plt.rcParams['axes.unicode_minus'] = False\n",
    "plt.style.use('seaborn-v0_8')\n",
    "\n",
    "# 设置随机种子以确保可重现性\n",
    "torch.manual_seed(42)\n",
    "np.random.seed(42)\n",
    "\n",
    "print(\"库导入完成！\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "fecc0a47-a759-436a-ba48-e0aa2019af22",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/zyp/myvenv/lib/python3.10/site-packages/IPython/core/pylabtools.py:170: UserWarning: Glyph 30446 (\\N{CJK UNIFIED IDEOGRAPH-76EE}) missing from font(s) DejaVu Sans.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "/home/zyp/myvenv/lib/python3.10/site-packages/IPython/core/pylabtools.py:170: UserWarning: Glyph 26631 (\\N{CJK UNIFIED IDEOGRAPH-6807}) missing from font(s) DejaVu Sans.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "/home/zyp/myvenv/lib/python3.10/site-packages/IPython/core/pylabtools.py:170: UserWarning: Glyph 20540 (\\N{CJK UNIFIED IDEOGRAPH-503C}) missing from font(s) DejaVu Sans.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "/home/zyp/myvenv/lib/python3.10/site-packages/IPython/core/pylabtools.py:170: UserWarning: Glyph 38543 (\\N{CJK UNIFIED IDEOGRAPH-968F}) missing from font(s) DejaVu Sans.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "/home/zyp/myvenv/lib/python3.10/site-packages/IPython/core/pylabtools.py:170: UserWarning: Glyph 26426 (\\N{CJK UNIFIED IDEOGRAPH-673A}) missing from font(s) DejaVu Sans.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "/home/zyp/myvenv/lib/python3.10/site-packages/IPython/core/pylabtools.py:170: UserWarning: Glyph 29983 (\\N{CJK UNIFIED IDEOGRAPH-751F}) missing from font(s) DejaVu Sans.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "/home/zyp/myvenv/lib/python3.10/site-packages/IPython/core/pylabtools.py:170: UserWarning: Glyph 25104 (\\N{CJK UNIFIED IDEOGRAPH-6210}) missing from font(s) DejaVu Sans.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "/home/zyp/myvenv/lib/python3.10/site-packages/IPython/core/pylabtools.py:170: UserWarning: Glyph 30340 (\\N{CJK UNIFIED IDEOGRAPH-7684}) missing from font(s) DejaVu Sans.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "/home/zyp/myvenv/lib/python3.10/site-packages/IPython/core/pylabtools.py:170: UserWarning: Glyph 32447 (\\N{CJK UNIFIED IDEOGRAPH-7EBF}) missing from font(s) DejaVu Sans.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "/home/zyp/myvenv/lib/python3.10/site-packages/IPython/core/pylabtools.py:170: UserWarning: Glyph 24615 (\\N{CJK UNIFIED IDEOGRAPH-6027}) missing from font(s) DejaVu Sans.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "/home/zyp/myvenv/lib/python3.10/site-packages/IPython/core/pylabtools.py:170: UserWarning: Glyph 22238 (\\N{CJK UNIFIED IDEOGRAPH-56DE}) missing from font(s) DejaVu Sans.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "/home/zyp/myvenv/lib/python3.10/site-packages/IPython/core/pylabtools.py:170: UserWarning: Glyph 24402 (\\N{CJK UNIFIED IDEOGRAPH-5F52}) missing from font(s) DejaVu Sans.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "/home/zyp/myvenv/lib/python3.10/site-packages/IPython/core/pylabtools.py:170: UserWarning: Glyph 25968 (\\N{CJK UNIFIED IDEOGRAPH-6570}) missing from font(s) DejaVu Sans.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "/home/zyp/myvenv/lib/python3.10/site-packages/IPython/core/pylabtools.py:170: UserWarning: Glyph 25454 (\\N{CJK UNIFIED IDEOGRAPH-636E}) missing from font(s) DejaVu Sans.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "/home/zyp/myvenv/lib/python3.10/site-packages/IPython/core/pylabtools.py:170: UserWarning: Glyph 65288 (\\N{FULLWIDTH LEFT PARENTHESIS}) missing from font(s) DejaVu Sans.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "/home/zyp/myvenv/lib/python3.10/site-packages/IPython/core/pylabtools.py:170: UserWarning: Glyph 24102 (\\N{CJK UNIFIED IDEOGRAPH-5E26}) missing from font(s) DejaVu Sans.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "/home/zyp/myvenv/lib/python3.10/site-packages/IPython/core/pylabtools.py:170: UserWarning: Glyph 22122 (\\N{CJK UNIFIED IDEOGRAPH-566A}) missing from font(s) DejaVu Sans.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "/home/zyp/myvenv/lib/python3.10/site-packages/IPython/core/pylabtools.py:170: UserWarning: Glyph 22768 (\\N{CJK UNIFIED IDEOGRAPH-58F0}) missing from font(s) DejaVu Sans.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "/home/zyp/myvenv/lib/python3.10/site-packages/IPython/core/pylabtools.py:170: UserWarning: Glyph 65289 (\\N{FULLWIDTH RIGHT PARENTHESIS}) missing from font(s) DejaVu Sans.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "/home/zyp/myvenv/lib/python3.10/site-packages/IPython/core/pylabtools.py:170: UserWarning: Glyph 29305 (\\N{CJK UNIFIED IDEOGRAPH-7279}) missing from font(s) DejaVu Sans.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "/home/zyp/myvenv/lib/python3.10/site-packages/IPython/core/pylabtools.py:170: UserWarning: Glyph 24449 (\\N{CJK UNIFIED IDEOGRAPH-5F81}) missing from font(s) DejaVu Sans.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "/home/zyp/myvenv/lib/python3.10/site-packages/IPython/core/pylabtools.py:170: UserWarning: Glyph 28857 (\\N{CJK UNIFIED IDEOGRAPH-70B9}) missing from font(s) DejaVu Sans.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "/home/zyp/myvenv/lib/python3.10/site-packages/IPython/core/pylabtools.py:170: UserWarning: Glyph 30495 (\\N{CJK UNIFIED IDEOGRAPH-771F}) missing from font(s) DejaVu Sans.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "/home/zyp/myvenv/lib/python3.10/site-packages/IPython/core/pylabtools.py:170: UserWarning: Glyph 23454 (\\N{CJK UNIFIED IDEOGRAPH-5B9E}) missing from font(s) DejaVu Sans.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "/home/zyp/myvenv/lib/python3.10/site-packages/IPython/core/pylabtools.py:170: UserWarning: Glyph 20851 (\\N{CJK UNIFIED IDEOGRAPH-5173}) missing from font(s) DejaVu Sans.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "/home/zyp/myvenv/lib/python3.10/site-packages/IPython/core/pylabtools.py:170: UserWarning: Glyph 31995 (\\N{CJK UNIFIED IDEOGRAPH-7CFB}) missing from font(s) DejaVu Sans.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n"
     ]
    },
    {
     "data": {
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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "📊 数据生成完成！\n",
      "样本数量: 200\n",
      "真实参数: w = 3.7000, b = 2.1000\n"
     ]
    }
   ],
   "source": [
    "# 数据生成函数\n",
    "def generate_linear_data(num_samples=200, noise_level=2.0):\n",
    "    \"\"\"\n",
    "    生成线性回归数据: y = wx + b + noise\n",
    "    \"\"\"\n",
    "    # 生成x值\n",
    "    x = torch.linspace(0, 10, num_samples).unsqueeze(1)\n",
    "    \n",
    "    # 真实参数\n",
    "    true_weight = 3.7\n",
    "    true_bias = 2.1\n",
    "    \n",
    "    # 生成y值并添加噪声\n",
    "    noise = torch.randn(x.size()) * noise_level\n",
    "    y = true_weight * x + true_bias + noise\n",
    "    \n",
    "    return x, y, true_weight, true_bias\n",
    "\n",
    "# 生成数据\n",
    "x, y, true_weight, true_bias = generate_linear_data(num_samples=200, noise_level=2.5)\n",
    "\n",
    "# 可视化生成的数据\n",
    "plt.figure(figsize=(10, 6))\n",
    "plt.scatter(x.numpy(), y.numpy(), alpha=0.6, color='steelblue', s=50, label='生成的数据点')\n",
    "plt.plot(x.numpy(), (true_weight * x + true_bias).numpy(), \n",
    "         'r-', linewidth=3, label=f'真实关系: y = {true_weight:.1f}x + {true_bias:.1f}')\n",
    "plt.xlabel('特征 x')\n",
    "plt.ylabel('目标值 y')\n",
    "plt.title('随机生成的线性回归数据（带噪声）')\n",
    "plt.legend()\n",
    "plt.grid(True, alpha=0.3)\n",
    "plt.show()\n",
    "\n",
    "print(f\"📊 数据生成完成！\")\n",
    "print(f\"样本数量: {len(x)}\")\n",
    "print(f\"真实参数: w = {true_weight:.4f}, b = {true_bias:.4f}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "603a7f9c-9f22-4a86-88f9-319088977b6c",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "📋 数据划分完成:\n",
      "训练集: 160 个样本\n",
      "测试集: 40 个样本\n",
      "🧠 模型初始化完成!\n",
      "初始权重: w = 0.1447\n",
      "初始偏置: b = -0.2590\n"
     ]
    }
   ],
   "source": [
    "# 划分训练集和测试集\n",
    "x_train, x_test, y_train, y_test = train_test_split(\n",
    "    x.numpy(), y.numpy(), test_size=0.2, random_state=42\n",
    ")\n",
    "\n",
    "# 转换为PyTorch张量\n",
    "x_train = torch.FloatTensor(x_train)\n",
    "y_train = torch.FloatTensor(y_train)\n",
    "x_test = torch.FloatTensor(x_test)\n",
    "y_test = torch.FloatTensor(y_test)\n",
    "\n",
    "print(f\"📋 数据划分完成:\")\n",
    "print(f\"训练集: {len(x_train)} 个样本\")\n",
    "print(f\"测试集: {len(x_test)} 个样本\")\n",
    "\n",
    "# 定义线性回归模型\n",
    "class LinearRegressionModel(nn.Module):\n",
    "    def __init__(self):\n",
    "        super(LinearRegressionModel, self).__init__()\n",
    "        self.linear = nn.Linear(1, 1)  # 输入1维，输出1维\n",
    "    \n",
    "    def forward(self, x):\n",
    "        return self.linear(x)\n",
    "\n",
    "# 初始化模型\n",
    "model = LinearRegressionModel()\n",
    "print(\"🧠 模型初始化完成!\")\n",
    "print(f\"初始权重: w = {model.linear.weight.item():.4f}\")\n",
    "print(f\"初始偏置: b = {model.linear.bias.item():.4f}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "2ac9e24a-eaf1-43a2-b588-34b8cbccd299",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "⚙️ 优化器配置完成!\n",
      "使用优化器: SGD\n",
      "学习率: 0.02\n",
      "损失函数: MSE\n"
     ]
    }
   ],
   "source": [
    "# 定义损失函数和优化器\n",
    "criterion = nn.MSELoss()  # 均方误差损失\n",
    "optimizer = torch.optim.SGD(model.parameters(), lr=0.02)  # 随机梯度下降\n",
    "\n",
    "print(\"⚙️ 优化器配置完成!\")\n",
    "print(f\"使用优化器: SGD\")\n",
    "print(f\"学习率: 0.02\")\n",
    "print(f\"损失函数: MSE\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "a8d91a0f-883f-431e-bd10-3b00856b836c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1500x1000 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Epoch [499/500] | Loss: 5.922084 | w: 3.6724 | b: 2.2384\n",
      "✅ 训练完成！\n"
     ]
    },
    {
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      "text/plain": [
       "<Figure size 1500x1000 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 训练模型\n",
    "num_epochs = 500\n",
    "train_losses = []\n",
    "test_losses = []\n",
    "weights_history = []\n",
    "bias_history = []\n",
    "\n",
    "# 创建动态更新的图表\n",
    "fig, ((ax1, ax2), (ax3, ax4)) = plt.subplots(2, 2, figsize=(15, 10))\n",
    "plt.ion()  # 开启交互模式\n",
    "\n",
    "print(\"🚀 开始梯度下降训练...\")\n",
    "print(\"=\" * 50)\n",
    "\n",
    "for epoch in range(num_epochs):\n",
    "    # 训练模式\n",
    "    model.train()\n",
    "    \n",
    "    # 前向传播\n",
    "    y_pred = model(x_train)\n",
    "    loss = criterion(y_pred, y_train)\n",
    "    \n",
    "    # 反向传播和优化\n",
    "    optimizer.zero_grad()\n",
    "    loss.backward()\n",
    "    optimizer.step()\n",
    "    \n",
    "    # 记录训练损失和参数\n",
    "    train_losses.append(loss.item())\n",
    "    weights_history.append(model.linear.weight.item())\n",
    "    bias_history.append(model.linear.bias.item())\n",
    "    \n",
    "    # 评估模式\n",
    "    model.eval()\n",
    "    with torch.no_grad():\n",
    "        test_pred = model(x_test)\n",
    "        test_loss = criterion(test_pred, y_test)\n",
    "        test_losses.append(test_loss.item())\n",
    "    \n",
    "    # 每50轮更新一次可视化\n",
    "    if epoch % 50 == 0 or epoch == num_epochs - 1:\n",
    "        clear_output(wait=True)\n",
    "        \n",
    "        # 更新损失曲线\n",
    "        ax1.clear()\n",
    "        ax1.plot(train_losses, label='训练损失', alpha=0.8, linewidth=2)\n",
    "        ax1.plot(test_losses, label='测试损失', alpha=0.8, linewidth=2)\n",
    "        ax1.set_xlabel('训练轮次')\n",
    "        ax1.set_ylabel('均方误差损失')\n",
    "        ax1.set_title('损失下降曲线')\n",
    "        ax1.legend()\n",
    "        ax1.grid(True, alpha=0.3)\n",
    "        ax1.set_yscale('log')\n",
    "        \n",
    "        # 更新参数收敛图\n",
    "        ax2.clear()\n",
    "        ax2.plot(weights_history, label='权重 w', linewidth=2)\n",
    "        ax2.plot(bias_history, label='偏置 b', linewidth=2)\n",
    "        ax2.axhline(y=true_weight, color='red', linestyle='--', alpha=0.7, label='真实 w')\n",
    "        ax2.axhline(y=true_bias, color='green', linestyle='--', alpha=0.7, label='真实 b')\n",
    "        ax2.set_xlabel('训练轮次')\n",
    "        ax2.set_ylabel('参数值')\n",
    "        ax2.set_title('参数收敛过程')\n",
    "        ax2.legend()\n",
    "        ax2.grid(True, alpha=0.3)\n",
    "        \n",
    "        # 更新当前拟合效果\n",
    "        ax3.clear()\n",
    "        ax3.scatter(x_train.numpy(), y_train.numpy(), alpha=0.6, color='blue', s=30, label='训练数据')\n",
    "        ax3.scatter(x_test.numpy(), y_test.numpy(), alpha=0.6, color='green', s=30, label='测试数据')\n",
    "        \n",
    "        x_range = torch.linspace(0, 10, 100).unsqueeze(1)\n",
    "        true_line = true_weight * x_range + true_bias\n",
    "        with torch.no_grad():\n",
    "            pred_line = model(x_range)\n",
    "        \n",
    "        ax3.plot(x_range.numpy(), true_line.numpy(), 'r-', linewidth=3, label='真实关系')\n",
    "        ax3.plot(x_range.numpy(), pred_line.numpy(), 'orange', linewidth=3, label='当前拟合')\n",
    "        ax3.set_xlabel('特征 x')\n",
    "        ax3.set_ylabel('目标值 y')\n",
    "        ax3.set_title(f'当前拟合效果 (Epoch {epoch})')\n",
    "        ax3.legend()\n",
    "        ax3.grid(True, alpha=0.3)\n",
    "        \n",
    "        # 显示当前参数和损失\n",
    "        ax4.clear()\n",
    "        ax4.axis('off')\n",
    "        current_w = model.linear.weight.item()\n",
    "        current_b = model.linear.bias.item()\n",
    "        info_text = f'Epoch: {epoch}/{num_epochs}\\n\\n当前参数:\\nw = {current_w:.4f}\\nb = {current_b:.4f}\\n\\n真实参数:\\nw = {true_weight:.4f}\\nb = {true_bias:.4f}\\n\\n当前损失:\\n训练: {loss.item():.4f}\\n测试: {test_loss.item():.4f}'\n",
    "        ax4.text(0.1, 0.9, info_text, transform=ax4.transAxes, fontsize=12, \n",
    "                verticalalignment='top', bbox=dict(boxstyle='round', facecolor='wheat', alpha=0.8))\n",
    "        \n",
    "        plt.tight_layout()\n",
    "        display(fig)\n",
    "        \n",
    "        print(f'Epoch [{epoch:3d}/{num_epochs}] | Loss: {loss.item():.6f} | w: {current_w:.4f} | b: {current_b:.4f}')\n",
    "        \n",
    "        # 短暂暂停以便观察\n",
    "        time.sleep(0.1)\n",
    "\n",
    "plt.ioff()  # 关闭交互模式\n",
    "print(\"✅ 训练完成！\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "2044f9b3-4f99-467a-aaca-e2e048e52dc8",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "🎯 最终训练结果:\n",
      "========================================\n",
      "真实参数: w = 3.700000, b = 2.100000\n",
      "学习参数: w = 3.672423, b = 2.238427\n",
      "参数误差: Δw = 0.027577\n",
      "参数误差: Δb = 0.138427\n",
      "最终测试损失: 6.321839\n",
      "R² 分数: 0.931062\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/tmp/ipykernel_2916/605112202.py:70: UserWarning: Glyph 29305 (\\N{CJK UNIFIED IDEOGRAPH-7279}) missing from font(s) DejaVu Sans.\n",
      "  plt.tight_layout()\n",
      "/tmp/ipykernel_2916/605112202.py:70: UserWarning: Glyph 24449 (\\N{CJK UNIFIED IDEOGRAPH-5F81}) missing from font(s) DejaVu Sans.\n",
      "  plt.tight_layout()\n",
      "/tmp/ipykernel_2916/605112202.py:70: UserWarning: Glyph 30446 (\\N{CJK UNIFIED IDEOGRAPH-76EE}) missing from font(s) DejaVu Sans.\n",
      "  plt.tight_layout()\n",
      "/tmp/ipykernel_2916/605112202.py:70: UserWarning: Glyph 26631 (\\N{CJK UNIFIED IDEOGRAPH-6807}) missing from font(s) DejaVu Sans.\n",
      "  plt.tight_layout()\n",
      "/tmp/ipykernel_2916/605112202.py:70: UserWarning: Glyph 20540 (\\N{CJK UNIFIED IDEOGRAPH-503C}) missing from font(s) DejaVu Sans.\n",
      "  plt.tight_layout()\n",
      "/tmp/ipykernel_2916/605112202.py:70: UserWarning: Glyph 26368 (\\N{CJK UNIFIED IDEOGRAPH-6700}) missing from font(s) DejaVu Sans.\n",
      "  plt.tight_layout()\n",
      "/tmp/ipykernel_2916/605112202.py:70: UserWarning: Glyph 32456 (\\N{CJK UNIFIED IDEOGRAPH-7EC8}) missing from font(s) DejaVu Sans.\n",
      "  plt.tight_layout()\n",
      "/tmp/ipykernel_2916/605112202.py:70: UserWarning: Glyph 25311 (\\N{CJK UNIFIED IDEOGRAPH-62DF}) missing from font(s) DejaVu Sans.\n",
      "  plt.tight_layout()\n",
      "/tmp/ipykernel_2916/605112202.py:70: UserWarning: Glyph 21512 (\\N{CJK UNIFIED IDEOGRAPH-5408}) missing from font(s) DejaVu Sans.\n",
      "  plt.tight_layout()\n",
      "/tmp/ipykernel_2916/605112202.py:70: UserWarning: Glyph 25928 (\\N{CJK UNIFIED IDEOGRAPH-6548}) missing from font(s) DejaVu Sans.\n",
      "  plt.tight_layout()\n",
      "/tmp/ipykernel_2916/605112202.py:70: UserWarning: Glyph 26524 (\\N{CJK UNIFIED IDEOGRAPH-679C}) missing from font(s) DejaVu Sans.\n",
      "  plt.tight_layout()\n",
      "/tmp/ipykernel_2916/605112202.py:70: UserWarning: Glyph 23545 (\\N{CJK UNIFIED IDEOGRAPH-5BF9}) missing from font(s) DejaVu Sans.\n",
      "  plt.tight_layout()\n",
      "/tmp/ipykernel_2916/605112202.py:70: UserWarning: Glyph 27604 (\\N{CJK UNIFIED IDEOGRAPH-6BD4}) missing from font(s) DejaVu Sans.\n",
      "  plt.tight_layout()\n",
      "/tmp/ipykernel_2916/605112202.py:70: UserWarning: Glyph 35757 (\\N{CJK UNIFIED IDEOGRAPH-8BAD}) missing from font(s) DejaVu Sans.\n",
      "  plt.tight_layout()\n",
      "/tmp/ipykernel_2916/605112202.py:70: UserWarning: Glyph 32451 (\\N{CJK UNIFIED IDEOGRAPH-7EC3}) missing from font(s) DejaVu Sans.\n",
      "  plt.tight_layout()\n",
      "/tmp/ipykernel_2916/605112202.py:70: UserWarning: Glyph 25968 (\\N{CJK UNIFIED IDEOGRAPH-6570}) missing from font(s) DejaVu Sans.\n",
      "  plt.tight_layout()\n",
      "/tmp/ipykernel_2916/605112202.py:70: UserWarning: Glyph 25454 (\\N{CJK UNIFIED IDEOGRAPH-636E}) missing from font(s) DejaVu Sans.\n",
      "  plt.tight_layout()\n",
      "/tmp/ipykernel_2916/605112202.py:70: UserWarning: Glyph 27979 (\\N{CJK UNIFIED IDEOGRAPH-6D4B}) missing from font(s) DejaVu Sans.\n",
      "  plt.tight_layout()\n",
      "/tmp/ipykernel_2916/605112202.py:70: UserWarning: Glyph 35797 (\\N{CJK UNIFIED IDEOGRAPH-8BD5}) missing from font(s) DejaVu Sans.\n",
      "  plt.tight_layout()\n",
      "/tmp/ipykernel_2916/605112202.py:70: UserWarning: Glyph 30495 (\\N{CJK UNIFIED IDEOGRAPH-771F}) missing from font(s) DejaVu Sans.\n",
      "  plt.tight_layout()\n",
      "/tmp/ipykernel_2916/605112202.py:70: UserWarning: Glyph 23454 (\\N{CJK UNIFIED IDEOGRAPH-5B9E}) missing from font(s) DejaVu Sans.\n",
      "  plt.tight_layout()\n",
      "/tmp/ipykernel_2916/605112202.py:70: UserWarning: Glyph 39044 (\\N{CJK UNIFIED IDEOGRAPH-9884}) missing from font(s) DejaVu Sans.\n",
      "  plt.tight_layout()\n",
      "/tmp/ipykernel_2916/605112202.py:70: UserWarning: Glyph 36718 (\\N{CJK UNIFIED IDEOGRAPH-8F6E}) missing from font(s) DejaVu Sans.\n",
      "  plt.tight_layout()\n",
      "/tmp/ipykernel_2916/605112202.py:70: UserWarning: Glyph 27425 (\\N{CJK UNIFIED IDEOGRAPH-6B21}) missing from font(s) DejaVu Sans.\n",
      "  plt.tight_layout()\n",
      "/tmp/ipykernel_2916/605112202.py:70: UserWarning: Glyph 22343 (\\N{CJK UNIFIED IDEOGRAPH-5747}) missing from font(s) DejaVu Sans.\n",
      "  plt.tight_layout()\n",
      "/tmp/ipykernel_2916/605112202.py:70: UserWarning: Glyph 26041 (\\N{CJK UNIFIED IDEOGRAPH-65B9}) missing from font(s) DejaVu Sans.\n",
      "  plt.tight_layout()\n",
      "/tmp/ipykernel_2916/605112202.py:70: UserWarning: Glyph 35823 (\\N{CJK UNIFIED IDEOGRAPH-8BEF}) missing from font(s) DejaVu Sans.\n",
      "  plt.tight_layout()\n",
      "/tmp/ipykernel_2916/605112202.py:70: UserWarning: Glyph 24046 (\\N{CJK UNIFIED IDEOGRAPH-5DEE}) missing from font(s) DejaVu Sans.\n",
      "  plt.tight_layout()\n",
      "/tmp/ipykernel_2916/605112202.py:70: UserWarning: Glyph 25439 (\\N{CJK UNIFIED IDEOGRAPH-635F}) missing from font(s) DejaVu Sans.\n",
      "  plt.tight_layout()\n",
      "/tmp/ipykernel_2916/605112202.py:70: UserWarning: Glyph 22833 (\\N{CJK UNIFIED IDEOGRAPH-5931}) missing from font(s) DejaVu Sans.\n",
      "  plt.tight_layout()\n",
      "/tmp/ipykernel_2916/605112202.py:70: UserWarning: Glyph 19979 (\\N{CJK UNIFIED IDEOGRAPH-4E0B}) missing from font(s) DejaVu Sans.\n",
      "  plt.tight_layout()\n",
      "/tmp/ipykernel_2916/605112202.py:70: UserWarning: Glyph 38477 (\\N{CJK UNIFIED IDEOGRAPH-964D}) missing from font(s) DejaVu Sans.\n",
      "  plt.tight_layout()\n",
      "/tmp/ipykernel_2916/605112202.py:70: UserWarning: Glyph 26354 (\\N{CJK UNIFIED IDEOGRAPH-66F2}) missing from font(s) DejaVu Sans.\n",
      "  plt.tight_layout()\n",
      "/tmp/ipykernel_2916/605112202.py:70: UserWarning: Glyph 32447 (\\N{CJK UNIFIED IDEOGRAPH-7EBF}) missing from font(s) DejaVu Sans.\n",
      "  plt.tight_layout()\n",
      "/tmp/ipykernel_2916/605112202.py:70: UserWarning: Glyph 21442 (\\N{CJK UNIFIED IDEOGRAPH-53C2}) missing from font(s) DejaVu Sans.\n",
      "  plt.tight_layout()\n",
      "/tmp/ipykernel_2916/605112202.py:70: UserWarning: Glyph 25910 (\\N{CJK UNIFIED IDEOGRAPH-6536}) missing from font(s) DejaVu Sans.\n",
      "  plt.tight_layout()\n",
      "/tmp/ipykernel_2916/605112202.py:70: UserWarning: Glyph 25947 (\\N{CJK UNIFIED IDEOGRAPH-655B}) missing from font(s) DejaVu Sans.\n",
      "  plt.tight_layout()\n",
      "/tmp/ipykernel_2916/605112202.py:70: UserWarning: Glyph 36807 (\\N{CJK UNIFIED IDEOGRAPH-8FC7}) missing from font(s) DejaVu Sans.\n",
      "  plt.tight_layout()\n",
      "/tmp/ipykernel_2916/605112202.py:70: UserWarning: Glyph 31243 (\\N{CJK UNIFIED IDEOGRAPH-7A0B}) missing from font(s) DejaVu Sans.\n",
      "  plt.tight_layout()\n",
      "/tmp/ipykernel_2916/605112202.py:70: UserWarning: Glyph 26435 (\\N{CJK UNIFIED IDEOGRAPH-6743}) missing from font(s) DejaVu Sans.\n",
      "  plt.tight_layout()\n",
      "/tmp/ipykernel_2916/605112202.py:70: UserWarning: Glyph 37325 (\\N{CJK UNIFIED IDEOGRAPH-91CD}) missing from font(s) DejaVu Sans.\n",
      "  plt.tight_layout()\n",
      "/tmp/ipykernel_2916/605112202.py:70: UserWarning: Glyph 20559 (\\N{CJK UNIFIED IDEOGRAPH-504F}) missing from font(s) DejaVu Sans.\n",
      "  plt.tight_layout()\n",
      "/tmp/ipykernel_2916/605112202.py:70: UserWarning: Glyph 32622 (\\N{CJK UNIFIED IDEOGRAPH-7F6E}) missing from font(s) DejaVu Sans.\n",
      "  plt.tight_layout()\n",
      "/home/zyp/myvenv/lib/python3.10/site-packages/IPython/core/pylabtools.py:170: UserWarning: Glyph 26368 (\\N{CJK UNIFIED IDEOGRAPH-6700}) missing from font(s) DejaVu Sans.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "/home/zyp/myvenv/lib/python3.10/site-packages/IPython/core/pylabtools.py:170: UserWarning: Glyph 32456 (\\N{CJK UNIFIED IDEOGRAPH-7EC8}) missing from font(s) DejaVu Sans.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "/home/zyp/myvenv/lib/python3.10/site-packages/IPython/core/pylabtools.py:170: UserWarning: Glyph 23545 (\\N{CJK UNIFIED IDEOGRAPH-5BF9}) missing from font(s) DejaVu Sans.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "/home/zyp/myvenv/lib/python3.10/site-packages/IPython/core/pylabtools.py:170: UserWarning: Glyph 27604 (\\N{CJK UNIFIED IDEOGRAPH-6BD4}) missing from font(s) DejaVu Sans.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n",
      "/home/zyp/myvenv/lib/python3.10/site-packages/IPython/core/pylabtools.py:170: UserWarning: Glyph 39044 (\\N{CJK UNIFIED IDEOGRAPH-9884}) missing from font(s) DejaVu Sans.\n",
      "  fig.canvas.print_figure(bytes_io, **kw)\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1500x500 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n",
      "📊 模型性能评估:\n",
      "========================================\n",
      "🏆 优秀！模型拟合效果非常好！\n",
      "测试集 R² 分数: 0.9311\n",
      "最终测试损失: 6.321839\n"
     ]
    }
   ],
   "source": [
    "# 获取最终参数\n",
    "model.eval()\n",
    "with torch.no_grad():\n",
    "    trained_weight = model.linear.weight.item()\n",
    "    trained_bias = model.linear.bias.item()\n",
    "    final_pred = model(x_test)\n",
    "\n",
    "# 计算评估指标\n",
    "final_loss = criterion(final_pred, y_test)\n",
    "y_mean = torch.mean(y_test)\n",
    "total_variance = torch.sum((y_test - y_mean) ** 2)\n",
    "residual_variance = torch.sum((y_test - final_pred) ** 2)\n",
    "r_squared = 1 - (residual_variance / total_variance)\n",
    "\n",
    "print(\"🎯 最终训练结果:\")\n",
    "print(\"=\" * 40)\n",
    "print(f\"真实参数: w = {true_weight:.6f}, b = {true_bias:.6f}\")\n",
    "print(f\"学习参数: w = {trained_weight:.6f}, b = {trained_bias:.6f}\")\n",
    "print(f\"参数误差: Δw = {abs(trained_weight - true_weight):.6f}\")\n",
    "print(f\"参数误差: Δb = {abs(trained_bias - true_bias):.6f}\")\n",
    "print(f\"最终测试损失: {final_loss.item():.6f}\")\n",
    "print(f\"R² 分数: {r_squared:.6f}\")\n",
    "\n",
    "# 最终可视化\n",
    "plt.figure(figsize=(15, 5))\n",
    "\n",
    "# 子图1：最终拟合效果\n",
    "plt.subplot(1, 3, 1)\n",
    "plt.scatter(x_train.numpy(), y_train.numpy(), alpha=0.6, color='blue', s=30, label='训练数据')\n",
    "plt.scatter(x_test.numpy(), y_test.numpy(), alpha=0.6, color='green', s=30, label='测试数据')\n",
    "\n",
    "x_range = torch.linspace(0, 10, 100).unsqueeze(1)\n",
    "true_line = true_weight * x_range + true_bias\n",
    "with torch.no_grad():\n",
    "    pred_line = model(x_range)\n",
    "\n",
    "plt.plot(x_range.numpy(), true_line.numpy(), 'r-', linewidth=3, \n",
    "         label=f'真实: y = {true_weight:.2f}x + {true_bias:.2f}')\n",
    "plt.plot(x_range.numpy(), pred_line.numpy(), 'orange', linewidth=3, \n",
    "         label=f'预测: y = {trained_weight:.2f}x + {trained_bias:.2f}')\n",
    "plt.xlabel('特征 x')\n",
    "plt.ylabel('目标值 y')\n",
    "plt.title('最终拟合效果对比')\n",
    "plt.legend()\n",
    "plt.grid(True, alpha=0.3)\n",
    "\n",
    "# 子图2：损失曲线\n",
    "plt.subplot(1, 3, 2)\n",
    "plt.plot(train_losses, label='训练损失', alpha=0.8, linewidth=2)\n",
    "plt.plot(test_losses, label='测试损失', alpha=0.8, linewidth=2)\n",
    "plt.xlabel('训练轮次')\n",
    "plt.ylabel('均方误差损失')\n",
    "plt.title('损失下降曲线')\n",
    "plt.legend()\n",
    "plt.grid(True, alpha=0.3)\n",
    "plt.yscale('log')\n",
    "\n",
    "# 子图3：参数收敛\n",
    "plt.subplot(1, 3, 3)\n",
    "plt.plot(weights_history, label='权重 w', linewidth=2)\n",
    "plt.plot(bias_history, label='偏置 b', linewidth=2)\n",
    "plt.axhline(y=true_weight, color='red', linestyle='--', alpha=0.7, label='真实 w')\n",
    "plt.axhline(y=true_bias, color='green', linestyle='--', alpha=0.7, label='真实 b')\n",
    "plt.xlabel('训练轮次')\n",
    "plt.ylabel('参数值')\n",
    "plt.title('参数收敛过程')\n",
    "plt.legend()\n",
    "plt.grid(True, alpha=0.3)\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()\n",
    "\n",
    "# 性能评估\n",
    "print(\"\\n📊 模型性能评估:\")\n",
    "print(\"=\" * 40)\n",
    "if r_squared > 0.9:\n",
    "    print(\"🏆 优秀！模型拟合效果非常好！\")\n",
    "elif r_squared > 0.8:\n",
    "    print(\"✅ 很好！模型拟合效果良好！\")\n",
    "elif r_squared > 0.7:\n",
    "    print(\"⚠️  一般！模型拟合效果还可以改进\")\n",
    "else:\n",
    "    print(\"❌ 需要优化！模型拟合效果不理想\")\n",
    "\n",
    "print(f\"测试集 R² 分数: {r_squared:.4f}\")\n",
    "print(f\"最终测试损失: {final_loss.item():.6f}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "b61cb0f9-b642-416d-a46f-2a52aa94193a",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
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   "language": "python",
   "name": "python3"
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    "name": "ipython",
    "version": 3
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   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
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